How does STICS crop model simulate crop growth and productivity under shade conditions?

Studying Parameter Sensitivity and Behaviour of the Crop Model STICS

The present article shows the results of a study on the soil module of the STICS (Simulateur Multidisciplinaire des Cultures Standards, developed by INRA, France) crop model. Simulation models are often applied to regions where conditions are substantially different from the ones which the model was originally developed for and validated against. This was the reason to study the sensitivity of ...

Fitness of Crop-Wild Hybrid Sunflower under Competitive Conditions: Implications for Crop-to-Wild Introgression

Understanding the likelihood and extent of introgression of novel alleles in hybrid zones requires comparison of lifetime fitness of parents and hybrid progeny. However, fitness differences among cross types can vary depending on biotic conditions, thereby influencing introgression patterns. Based on past work, we predicted that increased competition would enhance introgression between cultivat...

Parameter identification of the STICS crop model, using an accelerated formal MCMC approach

Modeling Crop Water Productivity Using a Coupled SWAT–MODSIM Model

This study examines the water productivity of irrigated wheat and maize yields in Karkheh River Basin (KRB) in the semi-arid region of Iran using a coupled modeling approach consisting of the hydrological model (SWAT) and the river basin water allocation model (MODSIM). Dynamic irrigation requirements instead of constant time series of demand were considered. As the cereal production of KRB pla...

Remote Sensing for Crop Growth and Crop Simulation Modeling

Crop yield is the result of complex interaction among factors of soil, atmosphere, plant genotype, and management practices adopted. These complex interactions of crop with various factors and of factors among themselves make the crop yield modeling a difficult task. Several methods of crop yield forecasting have been developed ranging from purely statistical to agro-meteorological to empirical...